Silvia Metelli, Nicholas Heard.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2586--2610.

Abstract:
Monitoring computer network traffic for anomalous behaviour presents an important security challenge. Arrivals of new edges in a network graph represent connections between a client and server pair not previously observed, and in rare cases these might suggest the presence of intruders or malicious implants. We propose a Bayesian model and anomaly detection method for simultaneously characterising existing network structure and modelling likely new edge formation. The method is demonstrated on real computer network authentication data and successfully identifies some machines which are known to be compromised.

A Pennsylvania man pleaded guilty today to charges stemming from his participation in a scheme to hack into computer networks and sell access to those networks.

A Pennsylvania man was sentenced to serve 18 months in prison for his role in a scheme to hack into computer networks and sell access to those networks.

IEEE / Institute of Electrical and Electronics Engineers Incorporated